📈 BTC Trading Bot — Binance Futures Automated Trading System

A real-time cryptocurrency trading desktop application built with C# / .NET 8 / WPF, featuring custom technical indicators, WebSocket-driven live charts, and a comprehensive risk management system.

⚠️ This is a personal project for learning and strategy validation. Use at your own risk.

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📸 Screenshots

Screenshots coming soon

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✨ Features

Trading Engine

• 5 technical indicators implemented from scratch — EMA, RSI, MACD, ATR, ADX (no external library dependencies)
• Multi-timeframe analysis (5m / 15m / 1h) with cross-validation entry signals
• Multi-symbol simultaneous monitoring scanner
• Paper trading mode for risk-free strategy validation

Real-Time Visualization

• Binance Futures WebSocket streaming → 100ms throttle buffer → LiveCharts2 (SkiaSharp) rendering
• 60fps candlestick charts with smooth updates
• Dark theme UI

Risk Management

• Dynamic position sizing based on account balance
• Trailing stop-loss with configurable parameters
• Maximum loss limit per trade / per session
• Real-time P&L tracking

API Integration

• Full Binance Futures REST + WebSocket API coverage
• HMAC-SHA256 request authentication
• Auto-reconnection on WebSocket disconnection

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🛠 Tech Stack

Layer	Technology
Language	C# 12
Framework	.NET 8, WPF
Architecture	MVVM (CommunityToolkit.Mvvm)
Charts	LiveCharts2 (SkiaSharp backend)
API	Binance Futures REST + WebSocket
Auth	HMAC-SHA256

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🏗 Architecture

4-layer MVVM architecture with clear separation of concerns:

BtcTradingBot/
├── Models/          # Data models (candles, orders, positions, indicators)
├── Services/        # Business logic (API client, WebSocket, trading engine)
├── ViewModels/      # Presentation logic (MVVM bindings, commands)
├── Views/           # XAML UI (charts, dashboards, settings)
├── Collections/     # Observable collections & data structures
└── Converters/      # WPF value converters

Data Flow:

Binance WebSocket → Services (throttle + parse) → ViewModels (transform) → Views (render)
                                                 ↓
                                          Trading Engine
                                    (indicators → signals → orders)

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🚀 Getting Started

Prerequisites

• .NET 8 SDK
• Binance account (for API keys, paper trading works without real funds)

Build & Run

git clone https://github.com/sjsr-0401/btc-trading-bot.git
cd btc-trading-bot
dotnet restore
dotnet run --project BtcTradingBot

Configuration

1. Copy your Binance API key and secret into the settings panel
2. Select trading mode: Paper (recommended) or Live
3. Choose symbols to monitor and configure risk parameters

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🔑 Key Implementation Details

Technical Indicators (from scratch)

All 5 indicators are implemented at the algorithm level without external TA libraries:

• EMA — Exponential Moving Average with configurable period
• RSI — Relative Strength Index (Wilder's smoothing)
• MACD — Moving Average Convergence Divergence (signal + histogram)
• ATR — Average True Range for volatility measurement
• ADX — Average Directional Index for trend strength

WebSocket Architecture

Market Stream → Deserialize → Throttle Buffer (100ms) → UI Update (Dispatcher)
                                    ↓
                            Indicator Calculation
                                    ↓
                            Signal Evaluation
                                    ↓
                            Order Execution (if conditions met)

Risk Management Pipeline

1. Pre-trade: Position size = f(account balance, ATR, max risk %)
2. In-trade: Trailing stop adjusts with price movement
3. Exit: Max loss limit triggers forced liquidation

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📊 Project Scale

• 50+ C# source files
• 14 model classes
• 14 service classes
• 4-layer MVVM architecture
• Also includes Python prototype (core/, gui/) used during initial development

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📄 License

MIT License — see LICENSE for details.

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Built by Kim Seongjine — Industrial equipment software engineer exploring algorithmic trading.